I'm Hamim Mahdie, a passionate computer science student at Trinity College with a strong interest in leveraging technology to solve real-world problems. My expertise lies in software development, deep learning, and cloud-native applications. Here are a few highlights about me:

• Deep Learning Enthusiast: As a research assistant, I have developed and optimized machine learning models for economic fraud detection in the auto insurance industry.
• Full-Stack Developer: From creating intuitive user interfaces to developing robust back-end systems, I enjoy building comprehensive applications that deliver value. Check out my ForEx Predictor and Food 'n Stuff Scheduler projects!
• Cloud Native Advocate: Proficient in Docker and Kubernetes, I am skilled in deploying and managing scalable applications in the cloud. See you at KubeCon?
• Collaborative Contributor: I thrive in team environments, utilizing tools like GitHub for version control, CI/CD pipelines, and issue tracking to ensure efficient project management and collaboration.

I am always eager to learn and take on new challenges. Feel free to connect with me on LinkedIn or explore my projects on GitHub. Let's build something amazing together!

TLDR

• 🔭 I’m currently working on enhancing economic fraud detection using deep learning-based image recognition.
• 🌱 I’m currently learning advanced techniques in cloud-native application deployment and machine learning.
• 👯 I’m looking to collaborate on innovative projects that involve machine learning, full-stack development, and cloud computing.
• 🤔 I’m looking for help with integrating advanced interpretability techniques in machine learning models to improve transparency and trust.
• 💬 Ask me about deep learning, microservices architecture, or how to deploy applications using Docker and Kubernetes.
• 📫 How to reach me: Email | LinkedIn
• 😄 Pronouns: He/Him
• ⚡ Fun fact: I'm a Baritone at the Accidentals all-male a cappella. Check us out!